Perceptual smoothing and segmentation of colour textures

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1406, Issue , 1998, Pages 623-639

  Petrou, M ^a   Mirmehdi, M ^a   Coors, M ^a  

^a UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; COLOR; COLOR IMAGE PROCESSING; COMPUTER VISION; GRAPHIC METHODS; IMAGE SEGMENTATION; PIXELS;

COLOUR HISTOGRAMS; INITIAL SEGMENTATION; MULTISCALE REPRESENTATIONS; PERCEPTUAL SEGMENTATIONS; PROBABILISTIC ASSIGNMENTS; PSYCHOPHYSICAL MEASUREMENTS; SMOOTHING ALGORITHMS; TEXTURE IMAGE;

IMAGE TEXTURE;

EID: 84957707109     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0055694     Document Type: Conference Paper

References (31)

1. X. Zhang and B.A. Wandell. A spatial extension of CIELAB for digital color image reproduction. In Society for Information Display Symposium, San Diego, 1996. WWW address: ftp://white.stanford.edu/scielab/spie97.ps.gz.
2. B.A. Wandell and X. Zhang. SCIELAB: a metric to predict the discriminabil- ity of colored patterns. In 9th Workshop on Image and Multidimensional Signal Processing, pages 11-12, 1996.
3. S. Peleg, J. Naor, R. Hartley, and D. Avnir. Multiple resolution texture analysis and classification. IEEE Trans. Pattern Analysis and Machine Intelligence, 6(4):518- 523, 1984.
4. J.L. Crowley and A.C. Sanderson. Multiple resolution representation and probabilistic matching of 2-d gray-scale shape. IEEE Trans. Pattern Analysis and Machine Intelligence, 9:113-120, 1987.
5. C. Bouman and B. Liu. Multiple resolution segmentation of textured images. IEEE Trans. Pattern Analysis and Machine Intelligence, 13(2):99-113, 1991.
6. S. Lam and H. Ip. Structural texture segmentation using irregular pyramid. Pattern Recognition Letters, 15:691-698, 1994.
7. F. Glazer. Multilevel relaxation in low-level computer vision. In A. Rosenfeld, editor, Multiresolution Image Processing and Analysis, pages 312-330. Springer, 1984.
8. D. Terzopoulos. Image analysis using multigrid relaxation methods. IEEE Trans. Pattern Analysis and Machine Intelligence, 8(2):129-139, 1986.
9. D. Zhang, J. Liu, and F. Wan. Multiresolution relaxation: Experiments and evaluations. In Proceedings of International Conference on Pattern Recognition, pages 712-714, 1988.
10. E. R. Hancock, M. Haindl, and J. Kittler. Multiresolution edge labelling using hierarchical relaxation. In Proceedings of International Conference on Pattern Recognition, pages 140-144, 1992.
11. J. Matas and J. Kittler. Spatial and feature based clustering: Applications in image analysis. In CAIP95, pages 162-173, 1995.
12. B. Julesz and J.R. Bergen. Textons, the fundamental elements in preattentive vision and perception of textures. Bell Systems Technical Journal, 62(6):1619- 1645, 1983.
13. J. Malik and P. Perona. A computational model of texture perception. Technical Report CSD-89-491, University of California Berkeley, CS, 1989.
14. H. Tamura, S. Mori, and T. Yamawaki. Textural features corresponding to visual perception. SMC, 8(6):460-473, June 1978.
15. R. M. Haralick. Statistical and structural approaches to texture. Proceedings of the IEEE, 67(5):786-804, 1979.
16. L. V. Gool, P. Dewaele, and A. Oosterlinck. Texture analysis anno 1983. Computer Vision, Graphics and Image Processing, 29:336-357, 1985.
17. T.R. Reed and J. du Buf. A review of recent texture segmentation and feature extraction techniques. CVGIP: Image Understanding, 57:359-372, 1993.
18. A.K. Jain and F. Farrokhnia. Unsupervised texture segmentation using gabor filters. Pattern Recognition, 24(12):1167-1186, 1991.
19. M. Unser and M. Eden. Multiresolution feature extraction and selection for texture segmentation. IEEE Trans. Pattern Analysis and Machine Intelligence, 11(7):717- 728, July 1989.
20. I. Matalas, S. Roberts, and H. Hatzakis. A set of multiresolution texture features suitable for unsupervised image segmentation. In Proceedings of Signal Processing VIII, Theories and Applications, volume III, pages 1495-1498, 1996.
21. S.J. Roan, J.K. Aggarwal, and W.N. Martin. Multiple resolution imagery and texture analysis. Pattern Recognition, 20(1):17-31, 1987.
22. Y. Ohta, T. Kanade, and T. Sakai. Color information for region segmentation. Computer Graphics and Image Processing, 13:222-241, 1980.
23. G. Healey. Segmenting images using normalized color. IEEE Trans. Systems, Man, and Cybernetics, 22(l):64-73, 1992.
24. J. Liu and Y-H. Yang. Multiresolution color image segmentation. IEEE Trans. Pattern Analysis and Machine Intelligence, 16:689-700, July 1994.
25. W. Skarbek and A. Koschan. Colour image segmentation - a survey. Technical report, Technical University Berlin, 1994.
26. M.J. Swain. Color Indexing. PhD thesis, University of Rochester, 1990.
27. G. J. Klinker. A Physical Approach to Color Image Understanding. A K Peters, Wellesley, Massachusetts. 1993.
28. G. B. Coleman and H. C. Andrews. Image segmentation by clustering. Proceedings of the IEEE, 67(5):773-785, 1979.
29. S. C. Tan and J. Kittler. Colour texture classification using features from colour histogram. Proceedings of the Eighth Scandinavian Conference on Image Processing, 1993.
30. D.K. Panjwani and G. Healey. Unsupervised segmentation of textured color images using markov random field models. In Conference on Computer Vision and Pattern Recognition, pages 776-777, 1993.
31. L. Shafarenko, M. Petrou, and J. Kittler. Automatic watershed segmentation of randomly textured color images. IEEE Transactions on Image Processing, 6(11):1530-1544, November 1997.